Optimal design of pipelines network for CO2 transport

Carbon capture and storage (CCS) is widely regarded as an important technical alternative to mitigate CO 2 emission. But the planning of the deployment of CCS infrastructure has been a challenging problem, because many constraints have to be considered simultaneously, with a great number of sources and sinks. Moreover, some inevitable nonlinear factors in real-life cases make the design problem even more complex. In this study, an mixed-integer programming (MIP) model for optimal design of pipeline network for CO 2 transport in previous studies is retrofitted, and geographical impacts on the pipeline construction cost is incorporated, which is realized on a combined platform of GAMS and ArcGIS. The new model is also applied to a real-life case in Texas to test its performance. The design result shows that the new model is effective and comprehensive for pipeline networks design.